Michał Żochowski

3.3k total citations
100 papers, 2.1k citations indexed

About

Michał Żochowski is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Michał Żochowski has authored 100 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Cognitive Neuroscience, 53 papers in Cellular and Molecular Neuroscience and 22 papers in Statistical and Nonlinear Physics. Recurrent topics in Michał Żochowski's work include Neural dynamics and brain function (60 papers), Neuroscience and Neuropharmacology Research (29 papers) and Nonlinear Dynamics and Pattern Formation (19 papers). Michał Żochowski is often cited by papers focused on Neural dynamics and brain function (60 papers), Neuroscience and Neuropharmacology Research (29 papers) and Nonlinear Dynamics and Pattern Formation (19 papers). Michał Żochowski collaborates with scholars based in United States, Poland and Israel. Michał Żochowski's co-authors include Lawrence B. Cohen, Matt Wachowiak, Sara J. Aton, Victoria Booth, Nicolette Ognjanovski, Andrzej Nowak, Ying‐Wan Lam, Jack M. Parent, Rhonda Dzakpasu and Robin R. Vallacher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Michał Żochowski

95 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michał Żochowski United States 24 1.1k 1.0k 338 311 306 100 2.1k
Yuguo Yu China 26 1.6k 1.5× 1.5k 1.5× 443 1.3× 495 1.6× 168 0.5× 75 2.7k
Sonja Grün Germany 29 2.8k 2.5× 1.5k 1.5× 493 1.5× 204 0.7× 97 0.3× 107 3.3k
Andreas K. Kreiter Germany 22 2.6k 2.4× 1.3k 1.2× 226 0.7× 89 0.3× 168 0.5× 61 3.0k
Ştefan Mihalaş United States 27 1.7k 1.5× 978 1.0× 200 0.6× 438 1.4× 85 0.3× 72 2.4k
Paul Tiesinga United States 31 3.5k 3.2× 2.2k 2.1× 664 2.0× 503 1.6× 261 0.9× 118 4.5k
Tomoki Fukai Japan 36 3.0k 2.7× 2.1k 2.1× 590 1.7× 589 1.9× 335 1.1× 162 4.2k
Jian‐Young Wu United States 21 1.6k 1.5× 1.2k 1.1× 560 1.7× 192 0.6× 537 1.8× 47 2.1k
Tim P. Vogels United Kingdom 19 2.3k 2.1× 1.5k 1.5× 324 1.0× 232 0.7× 105 0.3× 35 2.9k
Marco Idiart Brazil 22 1.6k 1.4× 952 0.9× 92 0.3× 187 0.6× 99 0.3× 68 2.4k
Ilan Lampl Israel 28 3.2k 2.9× 2.4k 2.4× 440 1.3× 351 1.1× 120 0.4× 48 3.8k

Countries citing papers authored by Michał Żochowski

Since Specialization
Citations

This map shows the geographic impact of Michał Żochowski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michał Żochowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Żochowski more than expected).

Fields of papers citing papers by Michał Żochowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michał Żochowski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michał Żochowski. The network helps show where Michał Żochowski may publish in the future.

Co-authorship network of co-authors of Michał Żochowski

This figure shows the co-authorship network connecting the top 25 collaborators of Michał Żochowski. A scholar is included among the top collaborators of Michał Żochowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michał Żochowski. Michał Żochowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ognjanovski, Nicolette, et al.. (2025). Cholinergic modulation of neural networks supports sequential and complementary roles for NREM and REM states in memory consolidation. PLoS Computational Biology. 21(6). e1013097–e1013097.
2.
Sander, Leonard M., et al.. (2024). Neuromodulatory effects on synchrony and network reorganization in networks of coupled Kuramoto oscillators. Physical review. E. 110(4). 44401–44401.
3.
Booth, Victoria, et al.. (2022). Modeling cortical synaptic effects of anesthesia and their cholinergic reversal. PLoS Computational Biology. 18(6). e1009743–e1009743. 1 indexed citations
4.
Grosh, Karl, et al.. (2021). Contrasting mechanisms for hidden hearing loss: Synaptopathy vs myelin defects. PLoS Computational Biology. 17(1). e1008499–e1008499. 19 indexed citations
5.
Yang, Yihao, Howard J. Gritton, Martin Sarter, et al.. (2021). Theta-gamma coupling emerges from spatially heterogeneous cholinergic neuromodulation. PLoS Computational Biology. 17(7). e1009235–e1009235. 12 indexed citations
6.
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8.
Wu, Jiaxing, Sara J. Aton, Victoria Booth, & Michał Żochowski. (2020). Network and cellular mechanisms underlying heterogeneous excitatory/inhibitory balanced states. European Journal of Neuroscience. 51(7). 1624–1641. 4 indexed citations
9.
Lü, Yiqing, Martin Sarter, Michał Żochowski, & Victoria Booth. (2020). Phasic cholinergic signaling promotes emergence of local gamma rhythms in excitatory–inhibitory networks. European Journal of Neuroscience. 52(6). 3545–3560. 11 indexed citations
10.
Roach, James P., et al.. (2019). Acetylcholine Mediates Dynamic Switching Between Information Coding Schemes in Neuronal Networks. Frontiers in Systems Neuroscience. 13. 64–64. 12 indexed citations
11.
Roach, James P., Aleksandra Pidde, Jiaxing Wu, et al.. (2018). Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks. Proceedings of the National Academy of Sciences. 115(13). E3017–E3025. 31 indexed citations
12.
Rich, Scott, Michał Żochowski, & Victoria Booth. (2018). Effects of Neuromodulation on Excitatory–Inhibitory Neural Network Dynamics Depend on Network Connectivity Structure. Journal of Nonlinear Science. 30(5). 2171–2194. 12 indexed citations
13.
Durkin, Jaclyn, Aneesha K. Suresh, Christopher Broussard, et al.. (2017). Cortically coordinated NREM thalamocortical oscillations play an essential, instructive role in visual system plasticity. Proceedings of the National Academy of Sciences. 114(39). 10485–10490. 64 indexed citations
14.
Ognjanovski, Nicolette, et al.. (2014). CA1 hippocampal network activity changes during sleep-dependent memory consolidation. Frontiers in Systems Neuroscience. 8. 61–61. 50 indexed citations
15.
Bogaard, Andrew, Jack M. Parent, Michał Żochowski, & Victoria Booth. (2009). Interaction of Cellular and Network Mechanisms in Spatiotemporal Pattern Formation in Neuronal Networks. Journal of Neuroscience. 29(6). 1677–1687. 53 indexed citations
16.
Jabłoński, Piotr G., Gina R. Poe, & Michał Żochowski. (2007). Structural network heterogeneities and network dynamics: A possible dynamical mechanism for hippocampal memory reactivation. PubMed. 75(1). 11912–11912. 5 indexed citations
17.
Percha, Bethany, Rhonda Dzakpasu, Michał Żochowski, & Jack M. Parent. (2005). Transition from local to global phase synchrony in small world neural network and its possible implications for epilepsy. Physical Review E. 72(3). 31909–31909. 119 indexed citations
18.
Dzakpasu, Rhonda & Michał Żochowski. (2005). Discriminating differing types of synchrony in neural systems. Physica D Nonlinear Phenomena. 208(1-2). 115–122. 22 indexed citations
19.
Johenning, Friedrich W., Michał Żochowski, Stuart J. Conway, et al.. (2002). Distinct Intracellular Calcium Transients in Neurites and Somata Integrate Neuronal Signals. Journal of Neuroscience. 22(13). 5344–5353. 57 indexed citations
20.
Antic, Srdjan D., Lawrence B. Cohen, Ying‐Wan Lam, et al.. (1999). Fast multisite optical measurement of membrane potential: three examples. The FASEB Journal. 13(9002). S271–6. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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